Analyzing of MOS and Codec Selection for Voice Over IP Technology
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Annual Report
ANNUAL REPORT 2014 Management Message 02 At the center of our businesses 04 12 Group Profi le | Businesses | Societal, Social and Litigation | Risk Factors 07 Environmental Information 41 1. Group Profi le 09 1. Corporate Social Responsibility (CSR) Policy 42 2. Businesses 20 2. Societal Information 47 3. Litigation 32 3. Social Information 62 4. Risk Factors 38 4. Environmental Information 77 5. Verifi cation of Non-Financial Data 85 3 Information about the Company | Corporate Governance | Reports 91 1. General Information about the Company 92 2. Additional Information about the Company 93 3. Corporate Governance 106 4. Report by the Chairman of Vivendi’s Supervisory Board on Corporate Governance, Internal Audits and Risk Management – Fiscal Year 2014 147 5. Statutory Auditors’ report, prepared in accordance with Article L.225-235 of the French Commercial Code, on the Report prepared by the Chairman of the Supervisory Board of Vivendi SA 156 4 Financial Report | Statutory Auditors’ Report on the Consolidated Financial Statements | Consolidated Financial Statements | Statutory Auditors’ Report on the Financial Statements | Statutory Financial Statements 159 Selected key consolidated fi nancial data 160 I - 2014 Financial Report 161 II - Appendices to the Financial Report: Unaudited supplementary fi nancial data 191 III - Consolidated Financial Statements for the year ended December 31, 2014 195 IV - Vivendi SA - 2014 Statutory Financial Statements 294 56 Recent events | Outlook 337 Responsibility for Auditing 1. Recent events 338 the Financial Statements 341 2. Outlook 339 1. Responsibility for Auditing the Financial Statements 342 ANNUAL REPORT 2014 The Annual Report in English is a translation of the French “Document de référence” provided for information purposes. -
Video Codec Requirements and Evaluation Methodology
Video Codec Requirements 47pt 30pt and Evaluation Methodology Color::white : LT Medium Font to be used by customers and : Arial www.huawei.com draft-filippov-netvc-requirements-01 Alexey Filippov, Huawei Technologies 35pt Contents Font to be used by customers and partners : • An overview of applications • Requirements 18pt • Evaluation methodology Font to be used by customers • Conclusions and partners : Slide 2 Page 2 35pt Applications Font to be used by customers and partners : • Internet Protocol Television (IPTV) • Video conferencing 18pt • Video sharing Font to be used by customers • Screencasting and partners : • Game streaming • Video monitoring / surveillance Slide 3 35pt Internet Protocol Television (IPTV) Font to be used by customers and partners : • Basic requirements: . Random access to pictures 18pt Random Access Period (RAP) should be kept small enough (approximately, 1-15 seconds); Font to be used by customers . Temporal (frame-rate) scalability; and partners : . Error robustness • Optional requirements: . resolution and quality (SNR) scalability Slide 4 35pt Internet Protocol Television (IPTV) Font to be used by customers and partners : Resolution Frame-rate, fps Picture access mode 2160p (4K),3840x2160 60 RA 18pt 1080p, 1920x1080 24, 50, 60 RA 1080i, 1920x1080 30 (60 fields per second) RA Font to be used by customers and partners : 720p, 1280x720 50, 60 RA 576p (EDTV), 720x576 25, 50 RA 576i (SDTV), 720x576 25, 30 RA 480p (EDTV), 720x480 50, 60 RA 480i (SDTV), 720x480 25, 30 RA Slide 5 35pt Video conferencing Font to be used by customers and partners : • Basic requirements: . Delay should be kept as low as possible 18pt The preferable and maximum delay values should be less than 100 ms and 350 ms, respectively Font to be used by customers . -
Activity and Sustainable Development Report 2011 Highlights Activision Blizzard
2011 ACTIVITY AND SUSTAINABLE DEVELOPMENT REPORT The Best Emotions, Digitally CONTENTS 02 VIVENDI GROUP 38 BUSINESS UNITS: 2011 HIGHLIGHTS 02 Message from Jean-Bernard Lévy, 40 Video games Chief Executive Officer 46 Music 04 Businesses panorama 52 Telecoms 06 Vivendi worldwide 54 Telecoms in France 08 Governance 58 Telecoms in Morocco 12 Key figures 2011 62 Telecoms in Brazil 14 Vivendi and its individual shareholders 66 Television and cinema 16 STRATEGY AND SUSTAINABLE 72 OUR TEN PRIORITY AREAS FOR ACTION DEVELOPMENT POLICY IN SUSTAINABLE DEVELOPMENT 18 Strategy 20 Innovation 74 Ethics and business practices 24 Sustainable development 75 Protecting and empowering youth 24 Interview with Jean-Yves Charlier, 76 Promoting cultural diversity member of the Supervisory Board 77 Sharing knowledge 26 Our policy 78 Protection of personal data 28 Implementation of our policy 79 Leveraging content and innovation 30 Dialogue with our stakeholders 80 Vigilance towards suppliers 34 Progress in 2011 and perspectives for 2012-2013 81 Leveraging human ressources 36 Sharing value in 2011 82 Territorial development 37 Our ten priority areas for action 83 Respecting the environment 84 Contact and information An Online Detailed Sustainable Development Report provides further information on the Group’s priority areas for action and presents the extra-financial indicators for 2011 as well as the report by one of Vivendi’s Statutory Auditors. This pictogram identifies stakeholders’ points of view Sustainable Development relating to the Group’s sustainable development policy. As a signatory of the United Nations Global Compact, Vivendi has committed itself to complying with and promoting its 10 principles concerning human rights, labor standards, the environment, and anti-corruption. -
(A/V Codecs) REDCODE RAW (.R3D) ARRIRAW
What is a Codec? Codec is a portmanteau of either "Compressor-Decompressor" or "Coder-Decoder," which describes a device or program capable of performing transformations on a data stream or signal. Codecs encode a stream or signal for transmission, storage or encryption and decode it for viewing or editing. Codecs are often used in videoconferencing and streaming media solutions. A video codec converts analog video signals from a video camera into digital signals for transmission. It then converts the digital signals back to analog for display. An audio codec converts analog audio signals from a microphone into digital signals for transmission. It then converts the digital signals back to analog for playing. The raw encoded form of audio and video data is often called essence, to distinguish it from the metadata information that together make up the information content of the stream and any "wrapper" data that is then added to aid access to or improve the robustness of the stream. Most codecs are lossy, in order to get a reasonably small file size. There are lossless codecs as well, but for most purposes the almost imperceptible increase in quality is not worth the considerable increase in data size. The main exception is if the data will undergo more processing in the future, in which case the repeated lossy encoding would damage the eventual quality too much. Many multimedia data streams need to contain both audio and video data, and often some form of metadata that permits synchronization of the audio and video. Each of these three streams may be handled by different programs, processes, or hardware; but for the multimedia data stream to be useful in stored or transmitted form, they must be encapsulated together in a container format. -
View Annual Report
2016 ANNUAL REPORT CONTENT MESSAGES FROM THE SUPERVISORY BOARD AND THE MANAGEMENT BOARD 02 1 4 Profile of the Group and its Businesses | Financial Report | Statutory Auditors’ Report Financial Communication, Tax Policy on the Consolidated Financial Statements | and Regulatory Environment | Risk Factors 05 Consolidated Financial Statements | 1. Profi le of the Group and its Businesses 07 Statutory Auditors’ Report on 2. Financial Communication, Tax policy and Regulatory Environment 43 the Financial Statements | Statutory 3. Risk Factors 47 Financial Statements 183 Selected key consolidated fi nancial data 184 I - 2016 Financial Report 185 II - Appendix to the Financial Report: Unaudited supplementary fi nancial data 208 2 III - Consolidated Financial Statements for the year ended December 31, 2016 210 Societal, Social and IV - 2016 Statutory Financial Statements 300 Environmental Information 51 1. Corporate Social Responsibility (CSR) Policy 52 2. Key Messages 58 3. Societal, Social and Environmental Indicators 64 4. Verifi cation of Non-Financial Data 101 5 Recent Events | Forecasts | Statutory Auditors’ Report on EBITA forecasts 343 1. Recent Events 344 2. Forecasts 344 3 3. Statutory Auditors’ Report on EBITA forecasts 345 Information about the Company | Corporate Governance | Reports 107 1. General Information about the Company 108 2. Additional Information about the Company 109 3. Corporate Governance 125 6 4. Report by the Chairman of Vivendi’s Supervisory Board Responsibility for Auditing the Financial Statements 347 on Corporate Governance, Internal Audits and Risk 1. Responsibility for Auditing the Financial Statements 348 Management – Fiscal year 2016 172 5. Statutory Auditors’ Report, Prepared in Accordance with Article L.225-235 of the French Commercial Code, on the Report Prepared by the Chairman of the Supervisory Board of Vivendi SA 181 ANNUAL REPORT 2016 ANNUAL REPORT 2016 The Annual Report in English is a translation of the French “Document de référence” provided for information purposes. -
ITU Operational Bulletin No.933 / 1.VI.2009
ITU Operational Bulletin No. 933 1.VI.2009 (Information received by 20 May 2009) Table of Contents Page General information Lists annexed to the ITU Operational Bulletin: Note from TSB.............................................................. 2 Approval of Recommendations ITU-T................................................................................................... 3 Notification of case of possible misuse of numbering resources (According to ITU-T Recommen- dation E.156): Guinea-Bissau (Institut des Communications de la Guinée-Bissau (ICGB), Bissau) ....... 3 Mobile Country or Geographical Area Codes: Identification codes for International Mobile Networks......................................................................................................................................... 4 Assignment of Signalling Area/Network Codes (SANC) (ITU-T Recommendation Q.708 (03/99)): Australia, Sudan ................................................................................................................................ 4 Telephone Service: Belarus (Ministry of Communications and Informatization, Minsk)............................................... 4 Denmark (National IT and Telecom Agency (NITA), Copenhagen) ............................................... 5 France (Autorité de Régulation des Communications Electroniques et des Postes (ARCEP), Paris) 5 Malta (Malta Communications Authority (MCA), Valletta) ........................................................... 19 Solomon Islands (Solomon Telekom Co. Ltd, Honiara)................................................................. -
CALIFORNIA STATE UNIVERSITY, NORTHRIDGE Optimized AV1 Inter
CALIFORNIA STATE UNIVERSITY, NORTHRIDGE Optimized AV1 Inter Prediction using Binary classification techniques A graduate project submitted in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering by Alex Kit Romero May 2020 The graduate project of Alex Kit Romero is approved: ____________________________________ ____________ Dr. Katya Mkrtchyan Date ____________________________________ ____________ Dr. Kyle Dewey Date ____________________________________ ____________ Dr. John J. Noga, Chair Date California State University, Northridge ii Dedication This project is dedicated to all of the Computer Science professors that I have come in contact with other the years who have inspired and encouraged me to pursue a career in computer science. The words and wisdom of these professors are what pushed me to try harder and accomplish more than I ever thought possible. I would like to give a big thanks to the open source community and my fellow cohort of computer science co-workers for always being there with answers to my numerous questions and inquiries. Without their guidance and expertise, I could not have been successful. Lastly, I would like to thank my friends and family who have supported and uplifted me throughout the years. Thank you for believing in me and always telling me to never give up. iii Table of Contents Signature Page ................................................................................................................................ ii Dedication ..................................................................................................................................... -
Performance Analysis on Voip for Kolej Kediaman 2 & 3
PERFORMANCE ANALYSIS ON VOIP FOR KOLEJ KEDIAMAN 2 & 3, UNIVERSITI MALAYSIA PAHANG DESMOND KO KHANG SlANG This thesis submitted in fulfilment of the requirements for the award of the degree of Bachelor of Computer Science (Computer Systems & Networking) Faculty of Computer Systems & Software Engineering UNIVERSITI MALAYSIA PAHANG DECEMBER 2014 V ABSTRACT Voice over Internet Protocol (VoIP) is a useful technology that allows users able to make unlimited free call no matter is local or international call. With this technology, the voice can be transported through over data networks. Unfortunately, the voice data will cope with some traffic that can affect the quality of VoIP calls. In this research, the maximum number of concurrent VoIP users will be estimated based on three factors which are packet jitter, packet end to end delays and MOS value. Besides, with the likes of Internet application such as video streaming, downloading of video and audio, online gaming which can directly affected the performance of VoIP. Therefore, two types of simulation scenarios can be done. First scenario is a campus network with VoIP application only. While the second scenario is a campus network with applying VoIP application and some external traffics such as HTTP and video streaming. The result these two scenarios will simulate by using OPNET modeler 14.5. In the testing phase, the number of clients in each scenario increased gradually until the threshold value for packet jitter, packet end to end delays and MOS are unacceptable. After that, the result that obtained from the simulation experiment will be analyzed and recommend the number of VoIP users for each factor. -
Video Compression and Communications: from Basics to H.261, H.263, H.264, MPEG2, MPEG4 for DVB and HSDPA-Style Adaptive Turbo-Transceivers
Video Compression and Communications: From Basics to H.261, H.263, H.264, MPEG2, MPEG4 for DVB and HSDPA-Style Adaptive Turbo-Transceivers by c L. Hanzo, P.J. Cherriman, J. Streit Department of Electronics and Computer Science, University of Southampton, UK About the Authors Lajos Hanzo (http://www-mobile.ecs.soton.ac.uk) FREng, FIEEE, FIET, DSc received his degree in electronics in 1976 and his doctorate in 1983. During his 30-year career in telecommunications he has held various research and academic posts in Hungary, Germany and the UK. Since 1986 he has been with the School of Electronics and Computer Science, University of Southampton, UK, where he holds the chair in telecom- munications. He has co-authored 15 books on mobile radio communica- tions totalling in excess of 10 000, published about 700 research papers, acted as TPC Chair of IEEE conferences, presented keynote lectures and been awarded a number of distinctions. Currently he is directing an academic research team, working on a range of research projects in the field of wireless multimedia communications sponsored by industry, the Engineering and Physical Sciences Research Council (EPSRC) UK, the European IST Programme and the Mobile Virtual Centre of Excellence (VCE), UK. He is an enthusiastic supporter of industrial and academic liaison and he offers a range of industrial courses. He is also an IEEE Distinguished Lecturer of both the Communications Society and the Vehicular Technology Society (VTS). Since 2005 he has been a Governer of the VTS. For further information on research in progress and associated publications please refer to http://www-mobile.ecs.soton.ac.uk Peter J. -
Comparison of Video Compression Standards
International Journal of Computer and Electrical Engineering, Vol. 5, No. 6, December 2013 Comparison of Video Compression Standards S. Ponlatha and R. S. Sabeenian display digital pictures. Each pixel is thus represented by Abstract—In order to ensure compatibility among video one R, G, and B components. The 2D array of pixels that codecs from different manufacturers and applications and to constitutes a picture is actually three 2D arrays with one simplify the development of new applications, intensive efforts array for each of the RGB components. A resolution of 8 have been undertaken in recent years to define digital video bits per component is usually sufficient for typical consumer standards Over the past decades, digital video compression applications. technologies have become an integral part of the way we create, communicate and consume visual information. Digital A. The Need for Compression video communication can be found today in many application sceneries such as broadcast services over satellite and Fortunately, digital video has significant redundancies terrestrial channels, digital video storage, wires and wireless and eliminating or reducing those redundancies results in conversational services and etc. The data quantity is very large compression. Video compression can be lossy or loss less. for the digital video and the memory of the storage devices and Loss less video compression reproduces identical video the bandwidth of the transmission channel are not infinite, so after de-compression. We primarily consider lossy it is not practical for us to store the full digital video without compression that yields perceptually equivalent, but not processing. For instance, we have a 720 x 480 pixels per frame,30 frames per second, total 90 minutes full color video, identical video compared to the uncompressed source. -
Voz Sobre Ip
ESCUELA POLITÉCNICA NACIONAL FACULTAD DE INGENIERÍA DE SISTEMAS INTEGRACIÓN DE LOS SERVICIOS DE VOZ SOBRE IP, APLICADO A UN CASO DE ESTUDIO. PROYECTO PREVIO A LA OBTENCIÓN DEL TITULO DE INGENIERO EN INFORMÁTICA CON MENCIÓN EN REDES DE INFORMACIÓN. WILSON RODOLFO ANDOCILLA ANDRADE. [email protected] MARCO VINICIO VALLEJO LÓPEZ. [email protected] DIRECTOR: ING. WILLIAM ANDRADE [email protected] Quito, MARZO 2007 DECLARACIÓN Nosotros, WILSON RODOLFO ANDOCILLA ANDRADE y MARCO VINICIO VALLEJO LÓPEZ, bajo juramento declaramos que el trabajo aquí descrito es de nuestra autoría, que no ha sido previamente presentado para ningún grado o calificación profesional; y, que hemos consultado las referencias bibliográficas que se incluyen en este documento. La Escuela Politécnica Nacional, puede hacer uso de los derechos correspondientes a este trabajo, según lo establecido por la Ley de Propiedad Intelectual, por su Reglamento, y por la normatividad institucional vigente. Wilson Rodolfo Andocilla Andrade Marco Vinicio Vallejo López CERTIFICACIÓN Por medio de la presente certifico que los señores WILSON RODOLFO ANDOCILLA ANDRADE y MARCO VINICIO VALLEJO LÓPEZ, ha realizado y concluido el proyecto de tesis titulado: “Integración de los servicios de Voz Sobre IP. Aplicado a un caso de estudio”, de acuerdo al Plan de Proyecto de Tesis previamente aprobado por el Consejo Directivo de la Facultad de Ingeniería de Sistemas de la Escuela Politécnica Nacional, bajo mi supervisión. ING. WILLIAM ANDRADE DIRECTOR DEL PROYECTO DEDICATORIA A nuestros padres y familiares, por habernos brindado toda la compresión, tiempo y apoyo incondicional para finalizar con éxito este nuevo reto trazado en nuestras vidas, especial gratitud a nuestras esposas por su paciencia y comprensión y a todas las personas que de una manera desinteresada contribuyeron con su colaboración en la elaboración y conclusión de este proyecto. -
A Dataflow Description of ACC-JPEG Codec
A Dataflow Description of ACC-JPEG Codec Khaled Jerbi1,2, Tarek Ouni1 and Mohamed Abid1 1CES Lab, National Engineering School of Sfax, Sfax, Tunisia 2IETR/INSA, UMR CNRS 6164, F-35043 Rennes, France Keywords: Video Compression, Accordeon, Dataflow, MPEG RVC. Abstract: Video codec standards evolution raises two major problems. The first one is the design complexity which makes very difficult the video coders implementation. The second is the computing capability demanding which requires complex and advanced architectures. To decline the first problem, MPEG normalized the Re- configurable Video Coding (RVC) standard which allows the reutilization of some generic image processing modules for advanced video coders. However, the second problem still remains unsolved. Actually, technol- ogy development becomes incapable to answer the current standards algorithmic increasing complexity. In this paper, we propose an efficient solution for the two problems by applying the RVC methodology and its associated tools on a new video coding model called Accordion based video coding. The main advantage of this video coding model consists in its capacity of providing high compression efficiency with low complexity which is able to resolve the second video coding problem. 1 INTRODUCTION nology from all existing MPEG video past standards (i.e. MPEG- 2, MPEG- 4, etc. ). CAL is used to pro- During most of two decades, MPEG has produced vide the reference software for all coding tools of the several video coding standards such as MPEG-2, entire library. The originality of this paper is the ap- MPEG-4, AVC and SVC. However, the past mono- plication of the CAL and its associated tools on a new lithic specification of such standards (usually in the video coding model called Accordion based video form of C/C++ programs) lacks flexibility.